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IEEE Middle East & North Africa COMMunications Conference

IEEE Middle East & North Africa COMMunications Conference

Amman , Jordan

Submission Deadline: Monday 07 Nov 2022

Conference Dates: Dec 06, 2022 - Dec 08, 2022

Impact Score 0.30


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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.30
Contributing Best Scientists: 3
Papers published by Best Scientists 4
Research Ranking (Electronics and Electrical Engineering) 741

Conference Call for Papers

You are invited to submit technical papers, which should be made on EDAS in the topics not limited to the tracks below :

Track 1: Physical Layer and Fundamentals
Channel modelling, characterization and estimation.
Modulation, coding, diversity and equalization.
Multi-carrier modulation and waveform design.
Interference modelling, cancellation and alignment.
MIMO and massive MIMO.
Non-orthogonal multiple access (NOMA).
Cognitive radios and spectrum sensing.
Ultra-wideband, mmWave and sub-THz communication.
Physical layer security.
Track 2: Wireless Networks, Connectivity, Security and Privacy
Fog computing and networking.
Mobile edge and cloud computing.
Software-defined networks.
Wireless network functions virtualization.
IoT and sensor networks.
Wireless network security and privacy.
Routing and congestion control in wireless networks.
Wireless networking for autonomous vehicles.
Energy harvesting wireless networks.
Track 3: Emerging Communication Technologies
5G, Beyond 5G and 6G.
Arial and non-terrestrial communications.
Wireless body area networks and e-health services.
Energy efficient and energy harvesting systems.
Joint Radar, Sensing and Communications.
Visible Light and Optical Communication
Reconfigurable Intelligent Surfaces.
Blockchain and Cryptography.
Quantum Communications.
Full-duplex communication networks.
Track 4: Machine Learning and Optimization for Wireless Systems
Deep Learning for Wireless Systems.
Reinforcement Learning for Wireless Systems.
Distributed Learning for Wireless Systems.
Unsupervised and Generative Model
Data-driven Network Modeling and Optimization.
Bayesian Optimization for Wireless.
Convex and Non-Convex Optimization for Wireless.
Game-Theoretic Approaches to Wireless.

Previous Editions

2021 IEEE Middle East & North Africa COMMunications Conference

Dec 03, 2021 - Dec 05, 2021

Online, Online

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